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MS Defense by Ryan C. Sanchez
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Name: Ryan C. Sanchez
Master's Thesis Defense Meeting
Date: Monday, August 30, 2021
Time: 10 AM - 12 PM
Location: https://bluejeans.com/387996616/1522
Advisor: Michael Hunter, Ph.D. (Georgia Tech)
Thesis Committee Members:
Michael Hunter, Ph.D. (Georgia Tech)
James Roberts, Ph.D. (Georgia Tech)
Keaton Fletcher, Ph.D. (Georgia Tech)
Title: Frame Analysis: A Modern Approach to Factor Analysis
Abstract: We introduce and develop a new statistical method for exploring latent structures: Frame Analysis. Frame Analysis drops the one-to-one correspondence between factor dimensionality and vector space representation found in Factor Analysis. This minor change obviates factor rotations, simple structure, and provides equal status for cross-loaded items. We show that in Frame Analysis, manifest items are defined by only one frame loading and are uniquely characterized as a linear combination of latent variables: a frame vector. Through a series of simulations, we characterize Frame Analysis performance in three scenarios: Exploratory, Constrained, and Partially-Constrained. Finally, we apply Frame Analysis to archival five-factor personality data and provide evidence that hierarchical personality models are disguised frame vectors.
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- Workflow Status:Published
- Created By:Tatianna Richardson
- Created:08/12/2021
- Modified By:Tatianna Richardson
- Modified:08/12/2021
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